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Proceedings Paper

Analysis of transient signatures of arc faults in power distribution systems via time-frequency analysis
Author(s): Philip Crapse; Jing-Jiang Wang; Yong-June Shin; Roger Dougal
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Paper Abstract

This paper draws on an innovative, signal processing-based method that jointly analyzes the time and frequency domains and uses that information to characterize and distinguish the deadly arc faults from the normal operational faults. This paper introduces a variety of new power quality assessment tools developed with the purpose of both detecting an arc fault faster than has yet been done and distinguishing the arc fault from other normal load operations via time-localized spectral characterization. Based on the time and frequency localization of the arc faults, the time varying impedances of the arc fault are modeled in terms of harmonic sources. The accomplishment of these objectives would lead to new, advanced smart arc fault circuit breakers and the modeling & simulation of arc fault phenomena.

Paper Details

Date Published: 5 September 2006
PDF: 12 pages
Proc. SPIE 6313, Advanced Signal Processing Algorithms, Architectures, and Implementations XVI, 63130U (5 September 2006); doi: 10.1117/12.681925
Show Author Affiliations
Philip Crapse, The Univ. of South Carolina (United States)
Jing-Jiang Wang, The Univ. of South Carolina (United States)
Yong-June Shin, The Univ. of South Carolina (United States)
Roger Dougal, The Univ. of South Carolina (United States)


Published in SPIE Proceedings Vol. 6313:
Advanced Signal Processing Algorithms, Architectures, and Implementations XVI
Franklin T. Luk, Editor(s)

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